The researchers present a novel approach that enables photo-realistic re-animation of portrait videos using only an input video.
While existing methods use only manipulations of facial expressions, they are the first to transfer the full 3D head position, head rotation, face expression, eye gaze, and eye blinking from a source actor to a portrait video of a target actor.

AutoAugment could be useful to extend the image data set used for training. Instead of manually rotation and flipping images, it should be possible to be possible to figure out the way how to increase both the amount and diversity of data in an existing training dataset with AutoAugment.

AutoAugment is an automatic way to design custom data augmentation policies for computer vision datasets, e.g., guiding the selection of basic image transformation operations, such as flipping an image horizontally/vertically, rotating an image, changing the colour of an image, etc.

Word embeddings are an integral part of current NLP models, but approaches that supersede the original word2vec have not been proposed. This post focuses on the deficiencies of word embeddings and how recent approaches have tried to resolve them.

In the last two decades, robot arms have migrated from industrial tools to household tools, toys, and DIY projects. Here we list a few of the best robot arms that you can buy or 3D print to extend your workshop or just use for fun!

Recently Google has been releasing many machine learning examples of machine and Seedbank. Seedbank is a registry and search engine for Colab notebooks for and around machine learning for rapid exploration and learning.